Analysis of intercrossed open-source software repositories data in GitHub

The use of public repositories of software is becoming increasingly common as a strategy for reducing costs and streamlining software development processes. However, given the large amount of software available on such deposits, the task of selecting the components and applications of higher quality or that best meet the quality requirements of a product, has become a demanding task in time and effort. In this paper we present a tool to support the analysis and selection of components and software applications in public repositories, particularly GitHub.